Data Strategy & Governance ConsultantFull-timeLegal Entity: Bosch Global Software Technologies Private LimitedCompany DescriptionBosch Global Software Technologies Private Limitedis a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.Job DescriptionRole OverviewThis role owns the enterprise approach to data strategy — analysing the data landscape, shaping consolidation and modernisation strategy, and establishing data governance foundations that form the basis for AI initiatives. Based in the AI CoE, the consultant multiplexes to Data & AI Service Line engagements, advising business and technology stakeholders on how to turn fragmented data estates into AI-ready, governed, and reusable assets.Key responsibilitiesData landscape and modernisation strategyAnalyse the enterprise data landscape — sources, platforms, pipelines, and architectures — to assess current state and maturity.Define data consolidation and modernisation strategy, including target-state architecture, migration pathways, and platform rationalisation.Assess data readiness for AI use cases; identify and document gaps in availability, quality, completeness and access.Develop the enterprise data roadmap, with value articulation overtimeData GovernanceDefine and maintain data governance standards, policies across the data lifecycle.Establish frameworks for data ownership, quality, lineage, metadata, master data management, privacy, access control, and retention.Set standards for AI-ready data products, pipelines, and reusable data assets in collaboration with enterprise data teams.Advice on responsible and compliant data usageConsult for client engagementsSupport leadership decision-making through structured recommendations, business cases, and executive briefings. Act as a trusted advisor to stakeholders in client organisations.Facilitate discovery workshops, interviews, and executive alignment sessions; derive actionable recommendations and transformation programs with defined success metrics.Support pre-sales for Service Line Data transformation engagements.Change Management and capability buildingDefine adoption playbooks and change management interventions.Advise on capability-building pathways, collaborating with talent and delivery teams to address skill gaps.Development of consulting assets, accelerators, and Data service offerings.Experience10–12 years in data strategy, data governance, data architecture, or analytics consultingExpected SkillsDemonstrated experience with data platform modernisation, migration strategy, or lakehouse/cloud data architecturesStrong grasp of data management concepts — quality, metadata, lineage, ownership, MDM, privacy, and access managementExperience defining data governance operating models, maturity models, or data transformation roadmapsCloud data platforms, enterprise data catalogs, and modern data stack tooling – Hands on experience would be an added advantage.Experience working alongside engineering and architecture teams in a services or product organizationStakeholder skillsExcellent executive communication; ability to influence without authorityQualificationsEducational qualification:B.E/B.Tech/MCA/PhD or equivalent QualificationExperience :10–12 years in data strategy, data governance, data architecture, or analytics consultingMandatory/requires Skills :Demonstrated experience with data platform modernisation, migration strategy, or lakehouse/cloud data architecturesStrong grasp of data management concepts — quality, metadata, lineage, ownership, MDM, privacy, and access managementExperience defining data governance operating models, maturity models, or data transformation roadmapsCloud data platforms, enterprise data catalogs, and modern data stack tooling – Hands on experience would be an added advantage.Experience working alongside engineering and architecture teams in a services or product organizationPreferred Skills :By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy applyI'm interestedI'm interestedPrivacy NoticeImprint
